The Application of Intelligent Keywords to Patient Adherence Management System

Author:

Yang Yin-Pin1,Lai Tsai-Ya1

Affiliation:

1. Service Systems Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan

Abstract

Health behavior change is the key challenge for healthcare intervention adherence management. For each treatment planning, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords, which has been design to navigate users to the target in-time knowledge and also leverage the collective power – peer learning to encourage patients. Three major components of PAMSIK are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users.

Publisher

IGI Global

Subject

Health Informatics,Computer Science Applications

Reference15 articles.

1. Combinatorial Pattern Matching

2. Folstad, A. (2008). Living labs for innovation and development of information and communication technology: A literature review. The Electronic Journal for Virtual (eJov) Organization and Networks, 10.

3. Patient Ability and Willingness to Participate in a Web-Based Intervention to Improve Hypertension Control

4. Take Two Aspirin And Tweet Me In The Morning: How Twitter, Facebook, And Other Social Media Are Reshaping Health Care

5. The Health Belief Model: A Decade Later

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3